Qi Yang

5.2k total citations · 1 hit paper
60 papers, 3.9k citations indexed

About

Qi Yang is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Qi Yang has authored 60 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Immunology, 15 papers in Surgery and 14 papers in Molecular Biology. Recurrent topics in Qi Yang's work include IL-33, ST2, and ILC Pathways (25 papers), Immune Cell Function and Interaction (24 papers) and Eosinophilic Esophagitis (13 papers). Qi Yang is often cited by papers focused on IL-33, ST2, and ILC Pathways (25 papers), Immune Cell Function and Interaction (24 papers) and Eosinophilic Esophagitis (13 papers). Qi Yang collaborates with scholars based in United States, China and Netherlands. Qi Yang's co-authors include Avinash Bhandoola, Nessan Bermingham, Milton J. Finegold, Huda Y. Zoghbi, Olga Shestova, Alejandro Chavez, Yumi Yashiro–Ohtani, Brittany Weber, Lisa Borghesi and David Artis and has published in prestigious journals such as Nature, Science and Angewandte Chemie International Edition.

In The Last Decade

Qi Yang

54 papers receiving 3.9k citations

Hit Papers

Requirement of Math1 for Secretory Cell Lineage Commitmen... 2001 2026 2009 2017 2001 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qi Yang United States 28 2.2k 1.3k 1.1k 481 378 60 3.9k
Linrong Lu China 30 2.5k 1.1× 1.5k 1.2× 395 0.4× 683 1.4× 257 0.7× 82 4.5k
Alexandre J. Potocnik Germany 27 2.3k 1.0× 1.3k 1.1× 450 0.4× 553 1.1× 295 0.8× 39 4.7k
Carlie J.M. de Vries Netherlands 39 1.8k 0.8× 2.2k 1.8× 507 0.5× 445 0.9× 430 1.1× 103 4.9k
Rajita Pappu United States 20 2.0k 0.9× 1.5k 1.2× 420 0.4× 494 1.0× 174 0.5× 27 3.6k
Stephen J. Warner United States 30 1.3k 0.6× 1.2k 0.9× 1.1k 1.0× 285 0.6× 130 0.3× 101 3.9k
Masafumi Onodera Japan 38 1.8k 0.8× 2.0k 1.6× 592 0.5× 803 1.7× 787 2.1× 123 5.2k
Dorothy K. Sojka United States 23 3.5k 1.6× 1.0k 0.8× 675 0.6× 771 1.6× 310 0.8× 35 5.0k
Per Anderson Spain 31 1.3k 0.6× 1.4k 1.1× 538 0.5× 658 1.4× 222 0.6× 69 4.0k
Sonia Berrih‐Aknin France 48 2.0k 0.9× 949 0.8× 455 0.4× 685 1.4× 299 0.8× 187 7.0k
Jun Cheng China 29 1.7k 0.7× 2.0k 1.6× 286 0.3× 362 0.8× 329 0.9× 110 4.4k

Countries citing papers authored by Qi Yang

Since Specialization
Citations

This map shows the geographic impact of Qi Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Yang more than expected).

Fields of papers citing papers by Qi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qi Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qi Yang. The network helps show where Qi Yang may publish in the future.

Co-authorship network of co-authors of Qi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Yang. A scholar is included among the top collaborators of Qi Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qi Yang. Qi Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wan, A, et al.. (2025). Dual role of mucosal-associated invariant T cells (MAIT) in asthma. Journal of Asthma. 62(7). 1095–1100.
3.
Yang, Qi, et al.. (2023). DNA T-shaped crossover tiles for 2D tessellation and nanoring reconfiguration. Nature Communications. 14(1). 7675–7675. 12 indexed citations
4.
Zhuo, Zewei, Qi Yang, Huihuan Wu, et al.. (2023). Targeted modulation of intestinal epithelial regeneration and immune response in ulcerative colitis using dual-targeting bilirubin nanoparticles. Theranostics. 14(2). 528–546. 29 indexed citations
5.
Zhang, Yuanyue, En Xu, Marieke Lavaert, et al.. (2022). Mucosal-associated invariant T cells restrict reactive oxidative damage and preserve meningeal barrier integrity and cognitive function. Nature Immunology. 23(12). 1714–1725. 52 indexed citations
6.
Harris, Rebecca, et al.. (2022). TCF-1 regulates NKG2D expression on CD8 T cells during anti-tumor responses. Cancer Immunology Immunotherapy. 72(6). 1581–1601. 10 indexed citations
7.
Zhang, Yuanyue, et al.. (2022). Interaction Between Innate Lymphoid Cells and the Nervous System. Advances in experimental medicine and biology. 1365. 135–148. 3 indexed citations
8.
Fu, Xiaoyi, Fangqi Peng, Qi Yang, et al.. (2020). Aptamer-Functionalized DNA Nanostructures for Biological Applications. Topics in Current Chemistry. 378(2). 21–21. 39 indexed citations
9.
Qi, Xinyi, Jinxin Qiu, Yanhui Ma, et al.. (2020). Brg1 restrains the pro-inflammatory properties of ILC3s and modulates intestinal immunity. Mucosal Immunology. 14(1). 38–52. 20 indexed citations
10.
Huang, Weishan, Rebecca Harris, Aisha Sultana, et al.. (2020). Targeting Interleukin-2-Inducible T-Cell Kinase (ITK) Differentiates GVL and GVHD in Allo-HSCT. Frontiers in Immunology. 11. 593863–593863. 18 indexed citations
11.
Hosokawa, Hiroyuki, Maile Romero-Wolf, Qi Yang, et al.. (2019). Cell type–specific actions of Bcl11b in early T-lineage and group 2 innate lymphoid cells. The Journal of Experimental Medicine. 217(1). 46 indexed citations
12.
Harly, Christelle, Devin Kenney, Gang Ren, et al.. (2019). The transcription factor TCF-1 enforces commitment to the innate lymphoid cell lineage. Nature Immunology. 20(9). 1150–1160. 82 indexed citations
13.
Califano, Danielle, Jonathan Cho, Mohammad Nizam Uddin, et al.. (2015). Transcription Factor Bcl11b Controls Identity and Function of Mature Type 2 Innate Lymphoid Cells. Immunity. 43(2). 354–368. 133 indexed citations
14.
Yang, Qi, Moyar Q. Ge, Imre Rédai, et al.. (2015). Group 2 innate lymphoid cells mediate ozone-induced airway inflammation and hyperresponsiveness in mice. Journal of Allergy and Clinical Immunology. 137(2). 571–578. 88 indexed citations
15.
Yang, Qi, Laurel A. Monticelli, Steven A. Saenz, et al.. (2013). T Cell Factor 1 Is Required for Group 2 Innate Lymphoid Cell Generation. Immunity. 38(4). 694–704. 194 indexed citations
16.
Yang, Qi. (2013). Tumor necrosis factor-α mediates JNK activation response to intestinal ischemia-reperfusion injury. World Journal of Gastroenterology. 19(30). 4925–4925. 23 indexed citations
17.
Yang, Qi, Brandt L. Esplin, & Lisa Borghesi. (2011). E47 regulates hematopoietic stem cell proliferation and energetics but not myeloid lineage restriction. Blood. 117(13). 3529–3538. 24 indexed citations
18.
Chen, Michael, Yan Li, Maria Elena De Obaldia, et al.. (2011). Erythroid/Myeloid Progenitors and Hematopoietic Stem Cells Originate from Distinct Populations of Endothelial Cells. Cell stem cell. 9(6). 541–552. 197 indexed citations
19.
Kardava, Lela, Qi Yang, Anthony J. St. Leger, et al.. (2011). The B lineage transcription factor E2A regulates apoptosis in chronic lymphocytic leukemia (CLL) cells. International Immunology. 23(6). 375–384. 13 indexed citations
20.
Esplin, Brandt L., Tomoyuki Shimazu, Robert S. Welner, et al.. (2011). Chronic Exposure to a TLR Ligand Injures Hematopoietic Stem Cells. The Journal of Immunology. 186(9). 5367–5375. 265 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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